3.1 Guest Lecture: Lauren Klein » Q&A on "What is Feminist Data Science?"<br /> https://www.complexityexplorer.org/courses/162-foundations-applications-of-humanities-analytics/segments/15631

https://www.youtube.com/watch?v=c7HmG5b87B8

Theories of Power

Patricia Hill Collins' matrix of domination - no hierarchy, thus the matrix format

What are other broad theories of power? are there schools?

Relationship to Mary Parker Follett's work?

Bright, Liam Kofi, Daniel Malinsky, and Morgan Thompson. “Causally Interpreting Intersectionality Theory.” Philosophy of Science 83, no. 1 (January 2016): 60–81. https://doi.org/10.1086/684173.

about Bayesian modeling for intersectionality

Where is Foucault in all this? Klein may have references, as I've not got the context.

How do words index action? —Laura Klein

The power to shape discourse and choose words - relationship to soft power - linguistic memes

Color Conventions Project

20:15 Word embeddings as a method within her research

General result (outside of the proximal research) discussed: women are more likely to change language... references for this?

[[academic research skills]]: It's important to be aware of the current discussions within one's field. (LK)

36:36 quantitative imperialism is not the goal of humanities analytics, lived experiences are incredibly important as well. (DK)

the age of borderless data is ending. What we're seeing is a move to digital sovereignty

https://www.youtube.com/watch?v=bWkwOefBPZY

Some of the basic outline of this looks like OER (Open Educational Resources) and its "five Rs": Retain, Reuse, Revise, Remix and/or Redistribute content. (To which I've already suggested the sixth: Request update (or revision control).

Some of this is similar to:

The Read Write Web is no longer sufficient. I want the Read Fork Write Merge Web. #osb11 lunch table. #diso #indieweb [Tantek Çelik](http://tantek.com/2011/174/t1/read-fork-write-merge-web-osb110

Idea of collections of learning as collections or "playlists" or "readlists". Similar to the old tool Readlist which bundled articles into books relatively easily. See also: https://boffosocko.com/2022/03/26/indieweb-readlists-tools-and-brainstorming/

Use of Wiki version histories

Some of this has the form of a Wiki but with smaller nuggets of information (sort of like Tiddlywiki perhaps, which also allows for creating custom orderings of things which had specific URLs for displaying and sharing them.) The Zettelkasten idea has some of this embedded into it. Shared zettelkasten could be an interesting thing.

Data is the new soil. A way to reframe "data is the new oil" but as a part of the commons. This fits well into the gardens and streams metaphor.

Jerry, have you seen Matt Ridley's work on Ideas Have Sex? https://www.ted.com/talks/matt_ridley_when_ideas_have_sex Of course you have: https://app.thebrain.com/brains/3d80058c-14d8-5361-0b61-a061f89baf87/thoughts/3e2c5c75-fc49-0688-f455-6de58e4487f1/attachments/8aab91d4-5fc8-93fe-7850-d6fa828c10a9

I've heard Jerry mention the idea of "crystallization of knowledge" before. How can we concretely link this version with Cesar Hidalgo's work, esp. Why Information Grows.

Cross reference Jerry's Brain: https://app.thebrain.com/brains/3d80058c-14d8-5361-0b61-a061f89baf87/thoughts/4bfe6526-9884-4b6d-9548-23659da7811e/notes

https://wildland.io/2021/06/11/introducing-client-v0.1.html

This looks intriguing... A client for abstracting data stores for use anywhere.

Desirables: * data export * data import (POSSE/PESOS) * collaboration (wiki/fanclub, annotations)

Budak, C., Soroka, S., Singh, L., Bailey, M., Bode, L., Chawla, N., Davis-Kean, P., Choudhury, M. D., Veaux, R. D., Hahn, U., Jensen, B., Ladd, J., Mneimneh, Z., Pasek, J., Raghunathan, T., Ryan, R., Smith, N. A., Stohr, K., & Traugott, M. (2021). Modeling Considerations for Quantitative Social Science Research Using Social Media Data. PsyArXiv. https://doi.org/10.31234/osf.io/3e2ux

Rosselli, R., Martini, M., & Bragazzi, N. L. (2016). The old and the new: Vaccine hesitancy in the era of the Web 2.0. Challenges and opportunities. Journal of Preventive Medicine and Hygiene, 57(1), E47–E50.

Wang, C. J. (2021). Contact-tracing app curbed the spread of COVID in England and Wales. Nature, d41586-021-01354–01358. https://doi.org/10.1038/d41586-021-01354-8

<small><cite class='h-cite via'>ᔥ <span class='p-author h-card'>Maria Farrell</span> in What is Ours is Only Ours to Give — Crooked Timber (<time class='dt-published'>05/18/2021 11:28:17</time>)</cite></small>

Nsoesie, E. O., Oladeji, O., Abah, A. S. A., & Ndeffo-Mbah, M. L. (2021). Forecasting influenza-like illness trends in Cameroon using Google Search Data. Scientific Reports, 11(1), 6713. https://doi.org/10.1038/s41598-021-85987-9

Gupta, Prateek, Tegan Maharaj, Martin Weiss, Nasim Rahaman, Hannah Alsdurf, Abhinav Sharma, Nanor Minoyan, et al. ‘COVI-AgentSim: An Agent-Based Model for Evaluating Methods of Digital Contact Tracing’. ArXiv:2010.16004 [Cs], 29 October 2020. http://arxiv.org/abs/2010.16004.

A fairly comprehensive list of problems and limitations that are often encountered with data as well as suggestions about who should be responsible for fixing them (from a journalistic perspective).

Cardozo Law Review. „COVID-19 and Digital Contact Tracing: Regulating the Future of Public Health Surveillance“, 27. Januar 2021. https://cardozolawreview.com/covid-19-and-digital-contact-tracing-regulating-the-future-of-public-health-surveillance/.

Brous, P., & Janssen, M. (2020). Trusted Decision-Making: Data Governance for Creating Trust in Data Science Decision Outcomes. Administrative Sciences, 10(4), 81. https://doi.org/10.3390/admsci10040081

Knawy, B. A., Adil, M., Crooks, G., Rhee, K., Bates, D., Jokhdar, H., Klag, M., Lee, U., Mokdad, A. H., Schaper, L., Hazme, R. A., Khathaami, A. M. A., & Abduljawad, J. (2020). The Riyadh Declaration: The role of digital health in fighting pandemics. The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(20)31978-4

Basellini, U., Alburez-Gutierrez, D., Del Fava, E., Perrotta, D., Bonetti, M., Camarda, C. G., & Zagheni, E. (2020). Linking excess mortality to Google mobility data during the COVID-19 pandemic in England and Wales [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/75d6m

EU Jobs at Highest Risk of COVID-19 Social Distancing: Will the Pandemic Exacerbate Labour Market Divide?. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 29, 2020, from https://covid-19.iza.org/publications/dp13281/

Fitzgerald, R. M. (2020). WAKING TO NORMAL: Examining Archival Appraisal in Data-driven Society [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/2befk

Lovato, J., Allard, A., Harp, R., & Hébert-Dufresne, L. (2020). Distributed consent and its impact on privacy and observability in social networks. ArXiv:2006.16140 [Physics]. http://arxiv.org/abs/2006.16140

Rauschenberg, C., Schick, A., Goetzl, C., Röhr, S., Riedel-Heller, S., Koppe, G., Durstewitz, D., Krumm, S., & Reininghaus, U. (2020). Social isolation, mental health and use of digital interventions in youth during the COVID-19 pandemic: A nationally representative survey [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/v64hf

Edelmann, A., Wolff, T., Montagne, D., & Bail, C. A. (2020). Computational Social Science and Sociology. Annual Review of Sociology, 46(1), annurev-soc-121919-054621. https://doi.org/10.1146/annurev-soc-121919-054621

Countries are using apps and data networks to keep tabs on the pandemic. (2020 March 26). The Economist. https://www.economist.com/briefing/2020/03/26/countries-are-using-apps-and-data-networks-to-keep-tabs-on-the-pandemic?fsrc=newsletter&utm_campaign=the-economist-today&utm_medium=newsletter&utm_source=salesforce-marketing-cloud&utm_term=2020-05-07&utm_content=article-link-1

Vilella, S., Paolotti, D., Ruffo, G. et al. News and the city: understanding online press consumption patterns through mobile data. EPJ Data Sci. 9, 10 (2020). https://doi.org/10.1140/epjds/s13688-020-00228-9

Nanni, M., Andrienko, G., Boldrini, C., Bonchi, F., Cattuto, C., Chiaromonte, F., Comandé, G., Conti, M., Coté, M., Dignum, F., Dignum, V., Domingo-Ferrer, J., Giannotti, F., Guidotti, R., Helbing, D., Kertesz, J., Lehmann, S., Lepri, B., Lukowicz, P., … Vespignani, A. (2020). Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. ArXiv:2004.05222 [Cs]. http://arxiv.org/abs/2004.05222

This is an interesting fact, usually when I think of visualization and data I go to the classic default charts and data. I'll have to keep this iin mind.

I really like this because I don't see it often and it actually does draw my eye to the data and capture my interest.

¿Qué sistema de organización de conocimiento se los posibilita? ¿Qué están usando para enlazar datos y en qué formato?

Q: How does this idea of time vs information flow affect the data harvested during a digital crowdwork process in humanitarian emergencies?

Q: How does this idea of time vs information flow manifest when the information flow is not chronological due to content throttling or algorithmic decisions on what content to deliver to a user?

Nuestro trabajo estaría enmarcado en la parte de Libertad de participación en los asuntos públicos a través de Internet y también con las puestas por el pluralismo y la gobernanza.

Hay simplemente datos que no registramos y tenemos la tendencia dejar una sobra digital pequeña en lugar de una grande. Los data selfies son maneras de reapropiar las narrativas sobre los datos y pensarnos de otras maneras desde ellos, en lugar de dejar esas lecturas sólo a quienes nos mercantilizan.

Una de las cosas que hemos hecho es apropiarnos de los ciclos de actualización tecnológica para ponerlos en nuestras manos sin andar corriendo detrás de la última actualización.

Agregar la gráfica de la manera en la cual se puede hacer al gobierno:

http://mutabit.com/repos.fossil/grafoscopio/doc/tip/Docs/Es/Presentaciones/AbreLatam2016/index-13.html

Nosotros hablábamos de deliberación, implementación y seguimiendo sobre las decisiones, como forma de participación. Desde el Data Week estamos yendo del seguimiento a las primeras.

1. The Digital Recovery of Texts. Due to computer assisted approaches to paleography( noun: paleography the study of ancient writing systems and the deciphering and dating of historical manuscripts) and the steady advances in the field of digital preservation "Resurrection can be grisly work, I THINK WE COME TO UNDERSTAND EXTINCTION BETTER IN OUR STRUGGLES." .

2. DH has a public and transformative role to play : Big Data and The Longue Duree

Unable to look at article by Armitage, D & Guldi,j.i on The Return of The Longue Duree - hit by paywall each time,

Look at great article on WWW.WIRED.COM .

https://www.wired.com/2014/01/return-of-history-long-timescales/

"The return of the longue durée is intimately connected to changing questions of scale. In a moment of ever-growing inequality, amid crises of global governance, and under the impact of anthropogenic climate change, even a minimal understanding of the conditions shaping our lives demands a scaling-up of our inquiries. "

What does she mean by BIG DATA? Read Samuel Arbesman article in The Washington Post for easy explanation [] (https://www.washingtonpost.com/opinions/five-myths-about-big-data/2013/08/15/64a0dd0a-e044-11e2-963a-72d740e88c12_story.html?utm_term=.54ff7fdf82fe)

¿A qué somos llamados y cómo respondemos a ello? Esta pregunta ha sido parte tácita de lo que hacemos en el Data Week.

Es curioso que los autores también se hayan enfocado en esta plataforma, como lo hemos hecho en los Data Week de manera reiterada.

-> But the figure of cyberspace is also absent in citizenship studies as scholars have yet to find a way to conceive of the figure of the citizen beyond its modern configuration as a member of the nation-state. Consequently, when the acts of subjects traverse so many borders and involve a multiplicity of legal orders, identifying this political subject as a citizen becomes a fundamental challenge. So far, describing this traversing political subject as a global citizen or cosmopolitan citizen has proved difficult if not contentious.

Ver: https://hyp.is/6bnriqSPEeeYN7sZXlOCNg

La idea de que estamos imbrincados en arreglos socio técnicos y que ellos son deconstriuidos, estirados y deconstruidos por los hackers a través de su quehacer material también implica que existe una conexión entre la forma en que los hackers deconstruyen la tecnología y la forma en que se configuran las ciudadanías mediadas por dichos arreglos sociotécnicos.

What are the benefits of this? In terms of cost/benefit, if these ties pay off just as well as in person ties without the expending of as much time and labor, is that a net positive? Or is something lost in the ease of contact? Again, what does data say?

Doesn't this obfuscate the process? Literature became digital. Digital enables a wide range of futther activity to take place on top of literature, including, perhaps, it's datafication.

Persuasion

沒有看到許委員的『數位經濟基本法』原始草案全文。在討論過程中有一些問題，例如數位經濟的基本定義；對資料產業沒有處理，以至於詹先生對國家保存資料的想像可能低估技術、行政程序，導致不恰當地反映在資料保存相關條文等處，不曉得是否有修正與否。

Estas líneas y las siguientes definen un conjunto interesante de posibilidades para las publicaciones digitales. ¿Cómo podemos hacerles Bootstrap desde lo que ya tenemos? (ejp: Grafoscopio y el Data Week).

Pages 220-221

Digital Humanities projects result in two general types of products. Digital libraries arise from scholarly collaborations and the initiatives of cultural heritage institutions to digitize their sources. These collections are popular for research and education. … The other general category of digital humanities products consist of assemblages of digitized cultural objects with associated analyses and interpretations. These are the equivalent of digital books in that they present an integrated research story, but they are much more, as they often include interactive components and direct links to the original sources on which the scholarship is based. … Projects that integrate digital records for widely scattered objects are a mix of a digital library and an assemblage.

Borgman, Christine L. 2007. Scholarship in the Digital Age: Information, Infrastructure, and the Internet. Cambridge, Mass: MIT Press.

My notes

p. 6

Retrieval methods designed for small databases decline rapidly in effectiveness as collections grow...

This is an interesting point that is missed in the Distant reading controversies: its all very well to say that you prefer close reading, but close reading doesn't scale--or rather the methodologies used to decide what to close read were developed when big data didn't exist. How to you combine that when you can read everything. I.e. You close read Dickins because he's what survived the 19th C as being worth reading. But now, if we could recover everything from the 19th C how do you justify methodologically not looking more widely?

p. 141

Initially, the digital humanities consisted of the curation and analysis of data that were born digital, and the digitisation and archiving projects that sought to render analogue texts and material objects into digital forms that could be organised and searched and be subjects to basic forms of overarching, automated or guided analysis, such as summary visualisations of content or connections between documents, people or places. Subsequently, its advocates have argued that the field has evolved to provide more sophisticated tools for handling, searching, linking, sharing and analysing data that seek to complement and augment existing humanities methods, and facilitate traditional forms of interpretation and theory building, rather than replacing traditional methods or providing an empiricist or positivistic approach to humanities scholarship.

summary of history of digital humanities

Guidelines for publishing GLAM data (galleries, libraries, archives, museums) on GitHub. It applies to publishing any kind of data anywhere.

• Document the schema of the data.
• Make the usage terms and conditions clear.
• Tell people how to report issues.<br> Or, tell them that they're on their own.
• Tell people whether you accept pull requests (user-contributed edits and additions), and how.
• Tell people how often the data will be updated, even if the answer is "sporadically" or "maybe never".

https://en.wikipedia.org/wiki/Open_Knowledge<br> http://openglam.org/faq/